Experiment design: This section verifies the impact of different patch sizes and normalization functions on ConAM performance. To validate the general effectiveness of ConAM for different models on different datasets, we use the classic models, ResNet-18 [1]}, ResNet-34 [1]}, ResNet-50 [1]} and ResNet-101 [1]}, as baselines, and train them on CIFAR-10 [5]} and CIFAR-100 [5]}.
